Senior GCP Data Engineer
Tasks
- Architect and manage BigQuery data solutions
- Automate infrastructure with Terraform
- Build and optimize ETL/ELT pipelines
- Configure Pub Sub messaging workflows
- Develop and maintain Dataflow pipelines
- Develop and maintain Dataproc Spark jobs
- Develop data ingestion and transformation workflows
- Establish data engineering standards
- Implement data validation and data quality checks
- Implement real-time data processing
- Manage Cloud Storage data pipelines
- Manage data lineage and metadata with Data Catalog
- Monitor and manage data platform reliability and costs
- Optimize query efficiency and pipeline performance
- Perform code reviews and mentor junior engineers
- Set up CI/CD pipelines
Perks/Benefits
- Company-Paid Holidays
- Employee assistance program
- Life and disability insurance
- Medical, dental, and vision coverage
- Paid time off
- Retirement savings plan
Skills/Tech-stack
Airflow | Apache Beam | Apache Spark | BigQuery | CI/CD | Cloud Composer | Cloud Dataflow | Cloud Functions | Cloud Monitoring | Cloud Storage | Cloud logging | Cloud platform | DBT | Data Catalog | Dataproc | Git | Google Cloud | Google Cloud Platform | Infrastructure as Code | Java | Pub/Sub | Python | SQL | Scala | Terraform | Vertex AI | “as-code”
Education
N/A
Roles
Data Engineer | Engineer | GCP Data Engineer | Senior Data Engineer
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